Software Engineer 3, Cluster-to-Cluster

MongoDB
Full-timeFull-stackDublin, Ireland
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At a glance

Employment type
Full-time
Workplace
On-site
Category
Full-stack

Technologies & skills

Primary technologies

Cloud & infrastructure

Other technical skills

Secondary technologies

What you'll be doing

Join the Cluster to Cluster (C2C) Services team at MongoDB to build and support services and tools for reliable data movement between MongoDB clusters, including migration, replication, and disaster recovery features. Work on distributed backend systems, scalability, and performance challenges in a collaborative environment.

  • Build Atlas Migration Services and tooling, including data movement and disaster recovery features
  • Collaborate with product, design, and engineering teams to build customer-focused features
  • Uphold engineering best practices and drive a culture of quality and continuous learning
  • Mentor and contribute to the growth of team members
  • Solve technical problems in distributed environments

Key requirements

Must-have

  • 3+ years of hands-on experience in software engineering focused on backend systems
  • Experience writing distributed backend systems in a compiled language (Java, C#, Go, C++ etc)
  • Understanding of distributed systems and experience designing APIs and services in a microservice environment
  • Experience with at least one major cloud platform (AWS, Azure, GCP)
  • Experience in one or more of: data streaming or replication, database systems, scalability, performance, reliability, or fault tolerance
  • Excellent written and verbal communication skills

Experience: 3+ years

Role signals

Technical focus
backend distributed systems, data movement, scalability, reliability
Leadership
Mentoring
Architecture / system design
Indicated in the listing
Hands-on vs management
Hands-on

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Full job description

We are seeking a Software Engineer to join our Cluster to Cluster (C2C) Services team, which builds the services and tools that move data reliably between MongoDB clusters. Our work spans the Atlas Live Migration service, mongosync, and disaster-recovery capabilities, helping customers migrate, replicate, and protect critical workloads across cloud and on-premises environments . We solve challenging problems in distributed systems, data movement, reliability, scalability, and operability. As a Software Engineer on this team, you will build and support new solutions to address our scalability, performance and usability challenges.

This role can be based out of our Dublin office or remotely in Ireland.

Responsibilities

  • Build our Atlas Migration Services and tooling, including data movement and disaster recovery features. These are heavily used by customers of MongoDB Atlas (our Database-as-a-Service), as well as by on-prem customers

  • Work closely with product, design, and engineers across the organization to collectively build features that our customers love

  • Uphold engineering best practices and help drive a culture of quality, customer focus, and continuous learning

  • Mentor and contribute to the growth of team members

  • Solve difficult technical problems in a distributed environment

Candidate Profile

  • 3+ years of hands-on experience in software engineering, primarily focused on backend systems

  • Skilled at writing distributed backend systems in a compiled language (Java, C#, Go, C++ etc)

  • Solid understanding of distributed systems and experience designing APIs and services in a microservice environment

  • Experience with at least one major cloud platform (AWS, Azure, GCP)

  • Experience in one or more of: data streaming or replication, database systems, scalability, performance, reliability, or fault tolerance.

  • Curious, collaborative, empathetic, and intellectually honest

  • Motivated to solve tough problems and continually expand their knowledge

  • Excellent written and verbal communication skills

Success Measures

  • In three months you understand the team’s architecture, MongoDB fundamentals relevant to C2C, and the core data-movement workflows. You have delivered a scoped change and contributed to production-quality fixes

  • In six months, you are reviewing code and new feature designs. You're involved in the design and implementation of a major project, and a few smaller features

  • In twelve months, you’re leading the design and development of at least one major new feature. You have strong familiarity with the products the team owns and are able to work across the codebase. You’re able to provide strong product support to both internal and external customers

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 67,000 customers, including AI-native startups and approximately 75% of the Fortune 100, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

Req ID: 3273541928

Interview prep pack

Grounded in this listing. Use it to prepare examples before you apply.

Your interview focus

Based on this listing, the Software Engineer 3, Cluster-to-Cluster role at MongoDB focuses on building and supporting distributed backend systems for data movement, migration, and disaster recovery across cloud and on-premises environments. The position emphasizes hands-on engineering, collaboration, and solving complex problems in distributed systems.

  • Distributed Systems Expertise·High
  • Cloud Platform Experience·High
  • Collaboration and Mentoring·Medium
  • API/Microservice Design·Medium

Only have 30 minutes?

Follow a focused preparation plan based on this job.

Start 30-minute prep

Your 30-minute plan

  1. Review MongoDB Atlas Migration and mongosync Documentation

    0–8 min

    Spend time understanding the core workflows, challenges, and technical details of Atlas Live Migration and mongosync.

  2. Refresh Distributed Systems Concepts

    8–15 min

    Revisit key distributed systems principles, focusing on data consistency, replication, and fault tolerance.

  3. Prepare Examples of Cloud Platform Projects

    15–20 min

    List and outline your experience with AWS, Azure, or GCP, especially where you built or supported backend systems.

  4. Practice Explaining API and Microservice Designs

    20–25 min

    Be ready to discuss your approach to designing APIs and microservices, including challenges and solutions.

  5. Reflect on Mentoring and Collaboration Experiences

    25–30 min

    Recall specific instances where you mentored others or worked closely with cross-functional teams.

Likely questions

, 8 items

Priority reflects how strongly this topic is emphasised in the job listing, not whether it will be asked.

Talking points

, 6 items
  • Designing Distributed Systems

    You should be able to discuss your experience architecting and implementing distributed backend systems, as this is central to the role.

  • Data Migration and Replication

    Prepare examples of building or supporting data movement, migration, or replication features, as these are core responsibilities.

  • Cloud Platform Experience

    Demonstrate your hands-on experience with at least one major cloud provider, as the team works across AWS, Azure, and GCP.

  • API and Microservice Design

    Showcase your ability to design APIs and services in a microservice environment, which is a key requirement.

  • Scalability and Reliability Solutions

    Be ready to discuss how you have addressed scalability, performance, reliability, or fault tolerance in previous projects.

  • Mentoring and Collaboration

    Highlight your experience mentoring others and collaborating across teams, as the role includes supporting team growth and cross-functional work.

What to research

, 4 items
  • MongoDB Atlas Migration Services and mongosync

    Review the documentation for Atlas Live Migration and mongosync to understand their workflows and technical challenges.

  • Distributed Systems Fundamentals

    Refresh your knowledge of distributed systems concepts such as consistency, partitioning, replication, and fault tolerance.

  • Cloud Platform Services

    Be ready to discuss your experience with AWS, Azure, or GCP, focusing on services relevant to backend and data movement.

  • API and Microservice Design Patterns

    Prepare to talk about your approach to designing APIs and microservices, including documentation and versioning strategies.

Questions to ask

, 6 items
  1. What are the biggest technical challenges currently facing the Cluster-to-Cluster Services team?

    Why ask this? Shows your interest in the team's real-world problems and readiness to contribute.

  2. How does the team approach testing and validating data integrity during migrations or replication?

    Why ask this? Demonstrates your focus on reliability and quality in data movement.

  3. What is the typical process for designing and rolling out new features or services?

    Why ask this? Helps you understand the team's development lifecycle and your potential involvement.

  4. How does the team collaborate with other groups, such as product or design, when building customer-facing features?

    Why ask this? Clarifies cross-functional collaboration and communication expectations.

  5. What opportunities exist for mentoring or leadership within the team?

    Why ask this? Shows your interest in contributing beyond coding and supporting team growth.

  6. How does the team stay up to date with new technologies or best practices in distributed systems?

    Why ask this? Indicates your commitment to continuous learning and improvement.

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Apply NowApply before: 9 Oct 2026